Listings Portfolio Report

Dataset statistics

Number of variables	15
Number of observations	2125
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	12
Duplicate rows (%)	0.6%
Total size in memory	249.1 KiB
Average record size in memory	120.1 B

Variable types

Numeric	10
Categorical	5

Warnings

Dataset has 12 (0.6%) duplicate rows	Duplicates
`name` has a high cardinality: 451 distinct values	High cardinality
`host_name` has a high cardinality: 201 distinct values	High cardinality
`last_review` has a high cardinality: 308 distinct values	High cardinality
`id` is highly correlated with `host_id` and 1 other fields	High correlation
`host_id` is highly correlated with `id`	High correlation
`latitude` is highly correlated with `longitude`	High correlation
`longitude` is highly correlated with `latitude`	High correlation
`number_of_reviews` is highly correlated with `id` and 1 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews`	High correlation
`id` is highly correlated with `host_id` and 1 other fields	High correlation
`host_id` is highly correlated with `id`	High correlation
`latitude` is highly correlated with `longitude`	High correlation
`longitude` is highly correlated with `latitude`	High correlation
`number_of_reviews` is highly correlated with `id` and 1 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews`	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month`	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews`	High correlation
`longitude` is highly correlated with `neighbourhood` and 4 other fields	High correlation
`price` is highly correlated with `room_type`	High correlation
`number_of_reviews` is highly correlated with `latitude` and 2 other fields	High correlation
`neighbourhood` is highly correlated with `longitude` and 4 other fields	High correlation
`latitude` is highly correlated with `longitude` and 5 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews` and 3 other fields	High correlation
`calculated_host_listings_count` is highly correlated with `longitude` and 2 other fields	High correlation
`room_type` is highly correlated with `price`	High correlation
`id` is highly correlated with `longitude` and 5 other fields	High correlation
`host_id` is highly correlated with `longitude` and 5 other fields	High correlation
`availability_365` has 228 (10.7%) zeros	Zeros

Reproduction

Analysis started	2021-06-22 22:02:48.723691
Analysis finished	2021-06-22 22:03:55.465594
Duration	1 minute and 6.74 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	431
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23491517.6

Minimum	8521
Maximum	48157277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	8521
5-th percentile	1799157
Q1	13169945
median	22888033
Q3	33719501
95-th percentile	45763073.4
Maximum	48157277
Range	48148756
Interquartile range (IQR)	20549556

Descriptive statistics

Standard deviation	13795942.02
Coefficient of variation (CV)	0.5872733407
Kurtosis	-1.092730333
Mean	23491517.6
Median Absolute Deviation (MAD)	10398951
Skewness	0.06111615073
Sum	4.99194749 × 10¹⁰
Variance	1.903280161 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12318450	9	0.4%
1225831	9	0.4%
19346242	9	0.4%
33245746	9	0.4%
34664077	9	0.4%
34944649	9	0.4%
32986957	9	0.4%
2538983	9	0.4%
17285749	9	0.4%
6185544	9	0.4%
Other values (421)	2035	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8521	7	0.3%
79762	6	0.3%
108898	6	0.3%
456429	6	0.3%
577384	5	0.2%
715532	1	< 0.1%
742574	7	0.3%
1140201	4	0.2%
1141088	6	0.3%
1154298	6	0.3%

Value	Count	Frequency (%)
48157277	1	< 0.1%
48108594	2	0.1%
48107460	1	< 0.1%
47703691	1	< 0.1%
47538101	3	0.1%
47296747	3	0.1%
47223523	2	0.1%
46938818	3	0.1%
46903645	1	< 0.1%
46820093	2	0.1%

name
Categorical

HIGH CARDINALITY

Distinct	451
Distinct (%)	21.2%
Missing	0
Missing (%)	0.0%
Memory size	16.7 KiB

3 Bed 2 Bath Tourist House near Kendall Square	12
CLOSE TO HARVARD&MIT	10
keyless private room near MIT,Central Sq 2	9
City Oasis \|Deck & Yard \|Walk To Harvard MIT Train	9
Harvard MIT: Artist's Home	9
Other values (446)	2076

Length

Max length	70
Median length	42
Mean length	40.36705882
Min length	14

Characters and Unicode

Total characters	85780
Distinct characters	88
Distinct categories	13 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59 ?
Unique (%)	2.8%

Sample

1st row	Middle Room in Shared Apt
2nd row	Large Downstairs Room
3rd row	Victorian Charm MIT/Harvard/Kendall/Central-1BR
4th row	Harvard and MIT - Enjoy Comfort and Convenience!
5th row	Charming Harvard Victorian

Common Values

Value	Count	Frequency (%)
3 Bed 2 Bath Tourist House near Kendall Square	12	0.6%
CLOSE TO HARVARD&MIT	10	0.5%
keyless private room near MIT,Central Sq 2	9	0.4%
City Oasis \|Deck & Yard \|Walk To Harvard MIT Train	9	0.4%
Harvard MIT: Artist's Home	9	0.4%
I3 Private Room by Kendall/MIT/Central Statio	9	0.4%
Hey Private Room close to MIT and Harvard Uni	9	0.4%
Fabulous Flat Near Harvard Square	9	0.4%
Convenient Studio parking 3-min. walk to subway	9	0.4%
Luxury studio w/ parking by MIT/Harvard/BU/Fenway	9	0.4%
Other values (441)	2031	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
harvard	714	5.2%
	513	3.7%
room	482	3.5%
to	469	3.4%
in	406	2.9%
cambridge	396	2.9%
mit	377	2.7%
private	371	2.7%
near	362	2.6%
square	307	2.2%
Other values (588)	9461	68.3%

Most occurring characters

Value	Count	Frequency (%)
	11867	13.8%
a	6542	7.6%
r	6057	7.1%
e	5459	6.4%
o	4158	4.8%
t	3884	4.5%
n	3282	3.8%
i	3260	3.8%
d	2676	3.1%
l	1886	2.2%
Other values (78)	36709	42.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	52145	60.8%
Uppercase Letter	16706	19.5%
Space Separator	11867	13.8%
Other Punctuation	2681	3.1%
Decimal Number	1394	1.6%
Dash Punctuation	583	0.7%
Math Symbol	130	0.2%
Other Letter	86	0.1%
Open Punctuation	84	0.1%
Close Punctuation	84	0.1%
Other values (3)	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6542	12.5%
r	6057	11.6%
e	5459	10.5%
o	4158	8.0%
t	3884	7.4%
n	3282	6.3%
i	3260	6.3%
d	2676	5.1%
l	1886	3.6%
m	1770	3.4%
Other values (16)	13171	25.3%

Uppercase Letter

Value	Count	Frequency (%)
H	1503	9.0%
T	1448	8.7%
R	1335	8.0%
C	1290	7.7%
M	1252	7.5%
S	1239	7.4%
I	1165	7.0%
B	1161	6.9%
A	1019	6.1%
P	671	4.0%
Other values (15)	4623	27.7%

Other Punctuation

Value	Count	Frequency (%)
/	998	37.2%
,	693	25.8%
&	328	12.2%
.	200	7.5%
!	158	5.9%
*	91	3.4%
#	56	2.1%
:	53	2.0%
'	44	1.6%
@	42	1.6%
Other values (2)	18	0.7%

Decimal Number

Value	Count	Frequency (%)
2	429	30.8%
1	428	30.7%
3	297	21.3%
4	106	7.6%
5	53	3.8%
0	25	1.8%
9	21	1.5%
6	20	1.4%
7	9	0.6%
8	6	0.4%

Other Letter

Value	Count	Frequency (%)
走	16	18.6%
路	16	18.6%
到	16	18.6%
哈	16	18.6%
佛	16	18.6%
二	6	7.0%

Math Symbol

Value	Count	Frequency (%)
+	78	60.0%
\|	52	40.0%

Space Separator

Value	Count	Frequency (%)
	11867	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	583	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	84	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	84	100.0%

Modifier Symbol

Value	Count	Frequency (%)
^	8	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	6	100.0%

Other Symbol

Value	Count	Frequency (%)
❤	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68851	80.3%
Common	16843	19.6%
Han	86	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6542	9.5%
r	6057	8.8%
e	5459	7.9%
o	4158	6.0%
t	3884	5.6%
n	3282	4.8%
i	3260	4.7%
d	2676	3.9%
l	1886	2.7%
m	1770	2.6%
Other values (41)	29877	43.4%

Common

Value	Count	Frequency (%)
	11867	70.5%
/	998	5.9%
,	693	4.1%
-	583	3.5%
2	429	2.5%
1	428	2.5%
&	328	1.9%
3	297	1.8%
.	200	1.2%
!	158	0.9%
Other values (21)	862	5.1%

Han

Value	Count	Frequency (%)
走	16	18.6%
路	16	18.6%
到	16	18.6%
哈	16	18.6%
佛	16	18.6%
二	6	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	85676	99.9%
CJK	86	0.1%
Punctuation	6	< 0.1%
Dingbats	6	< 0.1%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	11867	13.9%
a	6542	7.6%
r	6057	7.1%
e	5459	6.4%
o	4158	4.9%
t	3884	4.5%
n	3282	3.8%
i	3260	3.8%
d	2676	3.1%
l	1886	2.2%
Other values (69)	36605	42.7%

CJK

Value	Count	Frequency (%)
走	16	18.6%
路	16	18.6%
到	16	18.6%
哈	16	18.6%
佛	16	18.6%
二	6	7.0%

Punctuation

Value	Count	Frequency (%)
’	6	100.0%

Dingbats

Value	Count	Frequency (%)
❤	6	100.0%

None

Value	Count	Frequency (%)
：	6	100.0%

host_id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	223
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91269292.18

Minimum	35384
Maximum	379297950
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	35384
5-th percentile	430015
Q1	12576232
median	43450256
Q3	137754684
95-th percentile	347407976
Maximum	379297950
Range	379262566
Interquartile range (IQR)	125178452

Descriptive statistics

Standard deviation	106605849.1
Coefficient of variation (CV)	1.16803633
Kurtosis	0.6280525953
Mean	91269292.18
Median Absolute Deviation (MAD)	38872190
Skewness	1.310243033
Sum	1.939472459 × 10¹¹
Variance	1.136480706 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15154687	87	4.1%
43450256	86	4.0%
373675137	57	2.7%
21631889	54	2.5%
81038	38	1.8%
347407976	36	1.7%
66604416	35	1.6%
21745230	35	1.6%
119672800	34	1.6%
93503221	27	1.3%
Other values (213)	1636	77.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
35384	6	0.3%
81038	38	1.8%
93861	6	0.3%
229956	25	1.2%
306681	13	0.6%
393304	3	0.1%
404360	6	0.3%
405341	6	0.3%
430015	12	0.6%
886226	1	< 0.1%

Value	Count	Frequency (%)
379297950	3	0.1%
377541652	5	0.2%
374663992	1	< 0.1%
374060072	5	0.2%
373675137	57	2.7%
369560040	7	0.3%
365311308	7	0.3%
364585835	18	0.8%
351555234	1	< 0.1%
347407976	36	1.7%

host_name
Categorical

HIGH CARDINALITY

Distinct	201
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Memory size	16.7 KiB

John	124
Steve	95
Liya	57
Ling Yi	54
Louisa	38
Other values (196)	1757

Length

Max length	27
Median length	5
Mean length	5.976941176
Min length	1

Characters and Unicode

Total characters	12701
Distinct characters	58
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.7%

Sample

1st row	Adam
2nd row	Adam
3rd row	Paul
4th row	Kyle
5th row	Steve

Common Values

Value	Count	Frequency (%)
John	124	5.8%
Steve	95	4.5%
Liya	57	2.7%
Ling Yi	54	2.5%
Louisa	38	1.8%
Alexander	36	1.7%
Jurek	35	1.6%
Toby & Quinn	35	1.6%
Charlie	34	1.6%
Mark	33	1.6%
Other values (191)	1584	74.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	124	4.9%
	110	4.4%
steve	102	4.0%
liya	57	2.3%
yi	54	2.1%
ling	54	2.1%
louisa	38	1.5%
alexander	36	1.4%
toby	35	1.4%
jurek	35	1.4%
Other values (207)	1880	74.5%

Most occurring characters

Value	Count	Frequency (%)
a	1373	10.8%
e	1343	10.6%
n	1188	9.4%
i	951	7.5%
r	617	4.9%
l	568	4.5%
o	526	4.1%
J	404	3.2%
	404	3.2%
h	374	2.9%
Other values (48)	4953	39.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9696	76.3%
Uppercase Letter	2446	19.3%
Space Separator	404	3.2%
Other Punctuation	147	1.2%
Open Punctuation	4	< 0.1%
Close Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1373	14.2%
e	1343	13.9%
n	1188	12.3%
i	951	9.8%
r	617	6.4%
l	568	5.9%
o	526	5.4%
h	374	3.9%
u	354	3.7%
y	326	3.4%
Other values (17)	2076	21.4%

Uppercase Letter

Value	Count	Frequency (%)
J	404	16.5%
A	250	10.2%
L	232	9.5%
M	228	9.3%
S	165	6.7%
C	143	5.8%
D	131	5.4%
R	122	5.0%
K	115	4.7%
G	104	4.3%
Other values (16)	552	22.6%

Other Punctuation

Value	Count	Frequency (%)
&	137	93.2%
/	10	6.8%

Space Separator

Value	Count	Frequency (%)
	404	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12142	95.6%
Common	559	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1373	11.3%
e	1343	11.1%
n	1188	9.8%
i	951	7.8%
r	617	5.1%
l	568	4.7%
o	526	4.3%
J	404	3.3%
h	374	3.1%
u	354	2.9%
Other values (43)	4444	36.6%

Common

Value	Count	Frequency (%)
	404	72.3%
&	137	24.5%
/	10	1.8%
(	4	0.7%
)	4	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12700	> 99.9%
Latin 1 Sup	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1373	10.8%
e	1343	10.6%
n	1188	9.4%
i	951	7.5%
r	617	4.9%
l	568	4.5%
o	526	4.1%
J	404	3.2%
	404	3.2%
h	374	2.9%
Other values (47)	4952	39.0%

Latin 1 Sup

Value	Count	Frequency (%)
ó	1	100.0%

neighbourhood
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	16.7 KiB

Cambridgeport	327
Mid-Cambridge	302
The Port	272
North Cambridge	226
Wellington-Harrington	213
Other values (8)	785

Length

Max length	21
Median length	13
Mean length	13.44188235
Min length	7

Characters and Unicode

Total characters	28564
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	The Port
2nd row	The Port
3rd row	The Port
4th row	Cambridgeport
5th row	West Cambridge

Common Values

Value	Count	Frequency (%)
Cambridgeport	327	15.4%
Mid-Cambridge	302	14.2%
The Port	272	12.8%
North Cambridge	226	10.6%
Wellington-Harrington	213	10.0%
East Cambridge	185	8.7%
West Cambridge	155	7.3%
Neighborhood Nine	141	6.6%
Riverside	113	5.3%
Strawberry Hill	81	3.8%
Other values (3)	110	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cambridge	572	17.7%
cambridgeport	327	10.1%
mid-cambridge	302	9.3%
the	272	8.4%
port	272	8.4%
north	226	7.0%
wellington-harrington	213	6.6%
east	185	5.7%
west	155	4.8%
nine	141	4.4%
Other values (8)	565	17.5%

Most occurring characters

Value	Count	Frequency (%)
r	2988	10.5%
i	2589	9.1%
e	2469	8.6%
g	1839	6.4%
a	1790	6.3%
d	1763	6.2%
o	1674	5.9%
t	1672	5.9%
b	1423	5.0%
C	1201	4.2%
Other values (25)	9156	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23043	80.7%
Uppercase Letter	3823	13.4%
Space Separator	1105	3.9%
Dash Punctuation	515	1.8%
Decimal Number	39	0.1%
Other Punctuation	39	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2988	13.0%
i	2589	11.2%
e	2469	10.7%
g	1839	8.0%
a	1790	7.8%
d	1763	7.7%
o	1674	7.3%
t	1672	7.3%
b	1423	6.2%
m	1201	5.2%
Other values (9)	3635	15.8%

Uppercase Letter

Value	Count	Frequency (%)
C	1201	31.4%
N	508	13.3%
W	368	9.6%
M	341	8.9%
T	311	8.1%
H	300	7.8%
P	272	7.1%
E	185	4.8%
R	113	3.0%
A	104	2.7%
Other values (2)	120	3.1%

Space Separator

Value	Count	Frequency (%)
	1105	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	515	100.0%

Decimal Number

Value	Count	Frequency (%)
2	39	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26866	94.1%
Common	1698	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2988	11.1%
i	2589	9.6%
e	2469	9.2%
g	1839	6.8%
a	1790	6.7%
d	1763	6.6%
o	1674	6.2%
t	1672	6.2%
b	1423	5.3%
C	1201	4.5%
Other values (21)	7458	27.8%

Common

Value	Count	Frequency (%)
	1105	65.1%
-	515	30.3%
2	39	2.3%
/	39	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2988	10.5%
i	2589	9.1%
e	2469	8.6%
g	1839	6.4%
a	1790	6.3%
d	1763	6.2%
o	1674	5.9%
t	1672	5.9%
b	1423	5.0%
C	1201	4.2%
Other values (25)	9156	32.1%

latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	469
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.37307034

Minimum	42.35564
Maximum	42.40021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	42.35564
5-th percentile	42.35889
Q1	42.36608
median	42.37089
Q3	42.37778
95-th percentile	42.39384
Maximum	42.40021
Range	0.04457
Interquartile range (IQR)	0.0117

Descriptive statistics

Standard deviation	0.01010154402
Coefficient of variation (CV)	0.0002383953757
Kurtosis	-0.2066345378
Mean	42.37307034
Median Absolute Deviation (MAD)	0.00528
Skewness	0.7177496906
Sum	90042.77448
Variance	0.0001020411916
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42.3677	32	1.5%
42.3695	18	0.8%
42.36962	12	0.6%
42.36832	12	0.6%
42.39467	12	0.6%
42.37315	12	0.6%
42.37168	12	0.6%
42.38768	12	0.6%
42.38116	12	0.6%
42.35969	11	0.5%
Other values (459)	1980	93.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
42.35564	9	0.4%
42.35589	6	0.3%
42.35667	1	< 0.1%
42.35692	8	0.4%
42.35698	6	0.3%
42.35704	9	0.4%
42.3574	6	0.3%
42.35747	2	0.1%
42.35756	6	0.3%
42.35768	3	0.1%

Value	Count	Frequency (%)
42.40021	5	0.2%
42.39892	1	< 0.1%
42.39889	3	0.1%
42.39884	1	< 0.1%
42.39805	1	< 0.1%
42.39764	5	0.2%
42.39634	8	0.4%
42.39633	9	0.4%
42.39612	4	0.2%
42.39604	7	0.3%

longitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	485
Distinct (%)	22.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-71.11003003

Minimum	-71.15592
Maximum	-71.06636
Zeros	0
Zeros (%)	0.0%
Negative	2125
Negative (%)	100.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	-71.15592
5-th percentile	-71.14064
Q1	-71.12288
median	-71.10793
Q3	-71.09768
95-th percentile	-71.08283
Maximum	-71.06636
Range	0.08956
Interquartile range (IQR)	0.0252

Descriptive statistics

Standard deviation	0.01768778101
Coefficient of variation (CV)	-0.000248738202
Kurtosis	-0.2239837659
Mean	-71.11003003
Median Absolute Deviation (MAD)	0.011
Skewness	-0.430160778
Sum	-151108.8138
Variance	0.0003128575972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-71.10584	32	1.5%
-71.10983	14	0.7%
-71.10338	13	0.6%
-71.0989	12	0.6%
-71.09921	12	0.6%
-71.1248	12	0.6%
-71.13326	11	0.5%
-71.13276	11	0.5%
-71.10493	10	0.5%
-71.1066	10	0.5%
Other values (475)	1988	93.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-71.15592	6	0.3%
-71.15478	2	0.1%
-71.15448	2	0.1%
-71.1544	6	0.3%
-71.15405	1	< 0.1%
-71.15401	1	< 0.1%
-71.15354	8	0.4%
-71.1535	1	< 0.1%
-71.15302	6	0.3%
-71.15278	4	0.2%

Value	Count	Frequency (%)
-71.06636	1	< 0.1%
-71.0717	6	0.3%
-71.07226	1	< 0.1%
-71.07265	2	0.1%
-71.07373	3	0.1%
-71.07707	5	0.2%
-71.07726	6	0.3%
-71.07787	6	0.3%
-71.07849	4	0.2%
-71.07861	6	0.3%

room_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.7 KiB

Entire home/apt	1199
Private room	926

Length

Max length	15
Median length	15
Mean length	13.69270588
Min length	12

Characters and Unicode

Total characters	29097
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private room
2nd row	Private room
3rd row	Entire home/apt
4th row	Entire home/apt
5th row	Entire home/apt

Common Values

Value	Count	Frequency (%)
Entire home/apt	1199	56.4%
Private room	926	43.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
entire	1199	28.2%
home/apt	1199	28.2%
room	926	21.8%
private	926	21.8%

Most occurring characters

Value	Count	Frequency (%)
t	3324	11.4%
e	3324	11.4%
r	3051	10.5%
o	3051	10.5%
i	2125	7.3%
a	2125	7.3%
	2125	7.3%
m	2125	7.3%
E	1199	4.1%
n	1199	4.1%
Other values (5)	5449	18.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23648	81.3%
Uppercase Letter	2125	7.3%
Space Separator	2125	7.3%
Other Punctuation	1199	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3324	14.1%
e	3324	14.1%
r	3051	12.9%
o	3051	12.9%
i	2125	9.0%
a	2125	9.0%
m	2125	9.0%
n	1199	5.1%
h	1199	5.1%
p	1199	5.1%

Uppercase Letter

Value	Count	Frequency (%)
E	1199	56.4%
P	926	43.6%

Space Separator

Value	Count	Frequency (%)
	2125	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1199	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25773	88.6%
Common	3324	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3324	12.9%
e	3324	12.9%
r	3051	11.8%
o	3051	11.8%
i	2125	8.2%
a	2125	8.2%
m	2125	8.2%
E	1199	4.7%
n	1199	4.7%
h	1199	4.7%
Other values (3)	3051	11.8%

Common

Value	Count	Frequency (%)
	2125	63.9%
/	1199	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29097	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3324	11.4%
e	3324	11.4%
r	3051	10.5%
o	3051	10.5%
i	2125	7.3%
a	2125	7.3%
	2125	7.3%
m	2125	7.3%
E	1199	4.1%
n	1199	4.1%
Other values (5)	5449	18.7%

price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	267
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.9642353

Minimum	19
Maximum	950
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	19
5-th percentile	35
Q1	60
median	103
Q3	162
95-th percentile	300
Maximum	950
Range	931
Interquartile range (IQR)	102

Descriptive statistics

Standard deviation	97.03084353
Coefficient of variation (CV)	0.7582653333
Kurtosis	14.81399519
Mean	127.9642353
Median Absolute Deviation (MAD)	47
Skewness	2.798750012
Sum	271924
Variance	9414.984596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	64	3.0%
65	64	3.0%
99	47	2.2%
110	43	2.0%
150	39	1.8%
250	37	1.7%
55	37	1.7%
100	36	1.7%
70	33	1.6%
125	33	1.6%
Other values (257)	1692	79.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	1	< 0.1%
23	2	0.1%
25	9	0.4%
27	3	0.1%
28	3	0.1%
29	28	1.3%
30	12	0.6%
31	4	0.2%
32	8	0.4%
33	15	0.7%

Value	Count	Frequency (%)
950	4	0.2%
900	2	0.1%
650	1	< 0.1%
551	1	< 0.1%
538	1	< 0.1%
509	1	< 0.1%
507	1	< 0.1%
500	6	0.3%
485	1	< 0.1%
475	6	0.3%

minimum_nights
Real number (ℝ_≥0)

Distinct	41
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.39670588

Minimum	1
Maximum	365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	9
95-th percentile	60
Maximum	365
Range	364
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	27.62080619
Coefficient of variation (CV)	2.228076269
Kurtosis	55.31757426
Mean	12.39670588
Median Absolute Deviation (MAD)	1
Skewness	5.980811417
Sum	26343
Variance	762.9089345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1	760	35.8%
2	491	23.1%
3	207	9.7%
30	165	7.8%
32	73	3.4%
4	65	3.1%
28	45	2.1%
5	35	1.6%
31	27	1.3%
60	26	1.2%
Other values (31)	231	10.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	760	35.8%
2	491	23.1%
3	207	9.7%
4	65	3.1%
5	35	1.6%
6	8	0.4%
7	25	1.2%
9	6	0.3%
10	7	0.3%
11	1	< 0.1%

Value	Count	Frequency (%)
365	3	0.1%
300	2	0.1%
200	3	0.1%
180	6	0.3%
145	2	0.1%
110	4	0.2%
100	8	0.4%
95	1	< 0.1%
91	22	1.0%
90	11	0.5%

number_of_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	296
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.55576471

Minimum	1
Maximum	588
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	12
median	54
Q3	139
95-th percentile	280
Maximum	588
Range	587
Interquartile range (IQR)	127

Descriptive statistics

Standard deviation	97.91212729
Coefficient of variation (CV)	1.105655037
Kurtosis	3.32078882
Mean	88.55576471
Median Absolute Deviation (MAD)	50
Skewness	1.672521384
Sum	188181
Variance	9586.784671
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	171	8.0%
2	85	4.0%
3	61	2.9%
4	46	2.2%
9	33	1.6%
30	32	1.5%
20	31	1.5%
10	29	1.4%
18	26	1.2%
5	24	1.1%
Other values (286)	1587	74.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	171	8.0%
2	85	4.0%
3	61	2.9%
4	46	2.2%
5	24	1.1%
6	23	1.1%
7	15	0.7%
8	10	0.5%
9	33	1.6%
10	29	1.4%

Value	Count	Frequency (%)
588	4	0.2%
586	2	0.1%
513	1	< 0.1%
500	1	< 0.1%
488	1	< 0.1%
476	1	< 0.1%
462	1	< 0.1%
449	1	< 0.1%
440	6	0.3%
432	8	0.4%

last_review
Categorical

HIGH CARDINALITY

Distinct	308
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	16.7 KiB

2020-08-31	37
2020-11-22	28
2020-11-01	28
2020-05-31	27
2020-10-01	26
Other values (303)	1979

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	21250
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	2.0%

Sample

1st row	2020-04-24
2nd row	2020-04-01
3rd row	2020-04-02
4th row	2020-04-10
5th row	2020-04-02

Common Values

Value	Count	Frequency (%)
2020-08-31	37	1.7%
2020-11-22	28	1.3%
2020-11-01	28	1.3%
2020-05-31	27	1.3%
2020-10-01	26	1.2%
2020-10-12	26	1.2%
2020-11-21	25	1.2%
2020-10-25	25	1.2%
2020-04-01	24	1.1%
2021-01-31	22	1.0%
Other values (298)	1857	87.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-08-31	37	1.7%
2020-11-22	28	1.3%
2020-11-01	28	1.3%
2020-05-31	27	1.3%
2020-10-01	26	1.2%
2020-10-12	26	1.2%
2020-11-21	25	1.2%
2020-10-25	25	1.2%
2020-04-01	24	1.1%
2021-01-31	22	1.0%
Other values (298)	1857	87.4%

Most occurring characters

Value	Count	Frequency (%)
0	6197	29.2%
2	5435	25.6%
-	4250	20.0%
1	2946	13.9%
3	488	2.3%
5	396	1.9%
9	375	1.8%
4	354	1.7%
8	329	1.5%
6	265	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17000	80.0%
Dash Punctuation	4250	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6197	36.5%
2	5435	32.0%
1	2946	17.3%
3	488	2.9%
5	396	2.3%
9	375	2.2%
4	354	2.1%
8	329	1.9%
6	265	1.6%
7	215	1.3%

Dash Punctuation

Value	Count	Frequency (%)
-	4250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21250	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6197	29.2%
2	5435	25.6%
-	4250	20.0%
1	2946	13.9%
3	488	2.3%
5	396	1.9%
9	375	1.8%
4	354	1.7%
8	329	1.5%
6	265	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21250	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6197	29.2%
2	5435	25.6%
-	4250	20.0%
1	2946	13.9%
3	488	2.3%
5	396	1.9%
9	375	1.8%
4	354	1.7%
8	329	1.5%
6	265	1.2%

reviews_per_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	612
Distinct (%)	28.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.325327059

Minimum	0.06
Maximum	10.86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	0.06
5-th percentile	0.202
Q1	0.66
median	1.89
Q3	3.51
95-th percentile	6.238
Maximum	10.86
Range	10.8
Interquartile range (IQR)	2.85

Descriptive statistics

Standard deviation	1.967551977
Coefficient of variation (CV)	0.8461398878
Kurtosis	1.435349074
Mean	2.325327059
Median Absolute Deviation (MAD)	1.34
Skewness	1.182614222
Sum	4941.32
Variance	3.87126078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	47	2.2%
0.2	21	1.0%
0.33	18	0.8%
0.25	16	0.8%
0.37	15	0.7%
2	15	0.7%
0.43	15	0.7%
0.17	14	0.7%
0.19	13	0.6%
0.48	13	0.6%
Other values (602)	1938	91.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.06	1	< 0.1%
0.07	2	0.1%
0.08	1	< 0.1%
0.1	4	0.2%
0.11	5	0.2%
0.12	7	0.3%
0.13	4	0.2%
0.14	7	0.3%
0.15	7	0.3%
0.16	10	0.5%

Value	Count	Frequency (%)
10.86	1	< 0.1%
10.45	1	< 0.1%
10.38	2	0.1%
10.22	1	< 0.1%
10.21	1	< 0.1%
10.15	1	< 0.1%
10.14	1	< 0.1%
10.13	1	< 0.1%
10	1	< 0.1%
9.98	1	< 0.1%

calculated_host_listings_count
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.265411765

Minimum	1
Maximum	41
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	5
95-th percentile	17
Maximum	41
Range	40
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.976582825
Coefficient of variation (CV)	1.135064662
Kurtosis	6.026209649
Mean	5.265411765
Median Absolute Deviation (MAD)	2
Skewness	2.213838707
Sum	11189
Variance	35.71954226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1	600	28.2%
3	366	17.2%
2	256	12.0%
4	233	11.0%
5	139	6.5%
17	82	3.9%
13	78	3.7%
6	59	2.8%
9	53	2.5%
15	45	2.1%
Other values (15)	214	10.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	600	28.2%
2	256	12.0%
3	366	17.2%
4	233	11.0%
5	139	6.5%
6	59	2.8%
7	26	1.2%
8	27	1.3%
9	53	2.5%
10	12	0.6%

Value	Count	Frequency (%)
41	6	0.3%
36	1	< 0.1%
35	3	0.1%
33	3	0.1%
29	8	0.4%
23	26	1.2%
22	14	0.7%
18	13	0.6%
17	82	3.9%
16	26	1.2%

availability_365
Real number (ℝ_≥0)

ZEROS

Distinct	354
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	173.1416471

Minimum	0
Maximum	365
Zeros	228
Zeros (%)	10.7%
Negative	0
Negative (%)	0.0%
Memory size	16.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	56
median	159
Q3	300
95-th percentile	365
Maximum	365
Range	365
Interquartile range (IQR)	244

Descriptive statistics

Standard deviation	129.5564728
Coefficient of variation (CV)	0.7482686864
Kurtosis	-1.408486453
Mean	173.1416471
Median Absolute Deviation (MAD)	123
Skewness	0.1412735602
Sum	367926
Variance	16784.87964
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	228	10.7%
365	133	6.3%
1	60	2.8%
180	41	1.9%
364	35	1.6%
179	27	1.3%
363	26	1.2%
362	25	1.2%
90	24	1.1%
147	21	1.0%
Other values (344)	1505	70.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	228	10.7%
1	60	2.8%
2	10	0.5%
3	11	0.5%
4	3	0.1%
5	4	0.2%
6	7	0.3%
7	8	0.4%
8	2	0.1%
9	2	0.1%

Value	Count	Frequency (%)
365	133	6.3%
364	35	1.6%
363	26	1.2%
362	25	1.2%
361	12	0.6%
360	15	0.7%
359	15	0.7%
358	6	0.3%
357	5	0.2%
356	6	0.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	last_review	reviews_per_month	calculated_host_listings_count	availability_365
0	1193862	Middle Room in Shared Apt	229956	Adam	The Port	42.36494	-71.10054	Private room	23	2	125	2020-04-24	1.49	3	4
1	1193875	Large Downstairs Room	229956	Adam	The Port	42.36433	-71.09911	Private room	33	3	164	2020-04-01	1.98	3	7
2	1225831	Victorian Charm MIT/Harvard/Kendall/Central-1BR	3380576	Paul	The Port	42.36458	-71.09845	Entire home/apt	155	3	429	2020-04-02	5.12	1	310
3	1307195	Harvard and MIT - Enjoy Comfort and Convenience!	7106416	Kyle	Cambridgeport	42.36392	-71.10191	Entire home/apt	469	2	420	2020-04-10	6.11	1	68
4	1984737	Charming Harvard Victorian	8824696	Steve	West Cambridge	42.38116	-71.13326	Entire home/apt	425	2	293	2020-04-02	4.07	2	306
5	2538983	Spacious 2 bedrooms Apt-Roof deck NO Cleaning fee	13000172	Dan	Cambridgeport	42.35704	-71.10909	Entire home/apt	350	1	369	2020-04-20	6.38	1	231
6	3434822	Harvard MIT: Artist's Home	5871398	Beverly	North Cambridge	42.39403	-71.13094	Private room	79	145	30	2020-04-16	0.42	2	359
7	3774900	City Oasis \|Deck & Yard \|Walk To Harvard MIT Train	6823717	Juan Carlos	Cambridgeport	42.36079	-71.11365	Entire home/apt	170	2	261	2020-04-06	3.83	1	64
8	4956321	Charming Third Floor Apartment	25547444	Susan	Agassiz	42.38412	-71.11484	Entire home/apt	145	4	122	2020-04-06	1.91	1	212
9	6185544	Sunny 3 bed/2 bath-5 min to T- Harvard/MIT/Boston	21745230	Jurek	North Cambridge	42.39633	-71.13642	Entire home/apt	250	1	73	2020-04-15	1.26	6	276

Last rows

	id	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	last_review	reviews_per_month	calculated_host_listings_count	availability_365
2115	46820093	Marvelous 4 bed 1 bath 1 free parking Harvard SQ	373675137	Liya	West Cambridge	42.37352	-71.12260	Entire home/apt	150	2	2	2021-02-14	0.88	23	155
2116	46903645	Most popular 3 bed rooms in Harvard Sq	373675137	Liya	West Cambridge	42.37433	-71.12411	Entire home/apt	151	2	1	2021-03-08	1.00	23	230
2117	46938818	Walk To Harvard	379297950	Ismayil	Strawberry Hill	42.37767	-71.14900	Entire home/apt	119	1	1	2021-01-01	0.35	1	365
2118	47223523	Entire private studio suite in Harvard/MIT	45011296	Lance	Mid-Cambridge	42.36849	-71.10537	Entire home/apt	295	3	2	2021-02-25	1.36	4	38
2119	47296747	Central Square - Between Harvard & MIT	74045635	Ian	Cambridgeport	42.36333	-71.10285	Private room	35	2	3	2021-02-09	1.41	1	0
2120	47538101	SoloPrivate Space	270651080	Olan	The Port	42.37122	-71.09942	Entire home/apt	85	2	5	2021-03-20	2.05	2	52
2121	47703691	ENTIRE APT: Bright Sun Drenched Spot in Cambridge!	886226	Kibbee	Wellington-Harrington	42.37229	-71.09891	Entire home/apt	85	4	3	2021-03-23	3.00	1	0
2122	48107460	I2 Private Room by Kendall Sq	218493228	John	Wellington-Harrington	42.36992	-71.09612	Private room	46	1	2	2021-03-09	2.00	3	287
2123	48108594	Private room next to MIT/Harvard 3	247533528	Roxy	Mid-Cambridge	42.37185	-71.10017	Private room	47	1	1	2021-02-16	0.77	3	235
2124	48157277	Rice Street Studio	374663992	Amanda	North Cambridge	42.39563	-71.12863	Entire home/apt	116	2	2	2021-03-21	2.00	1	178

Most frequently occurring

	id	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	last_review	reviews_per_month	calculated_host_listings_count	availability_365	# duplicates
7	7774831	Charming house in Cambridge C33W	12576232	Thomas	The Port	42.36946	-71.09899	Private room	45	32	11	2020-11-25	0.21	5	365	3
0	1330779	Huron Village Lower Unit Harvard Sq	4642626	Amy	Neighborhood Nine	42.38905	-71.12425	Entire home/apt	200	7	65	2020-05-31	0.72	5	0	2
1	3434822	Harvard MIT: Artist's Home	5871398	Beverly	North Cambridge	42.39403	-71.13094	Private room	84	180	30	2020-04-16	0.37	2	365	2
2	3434822	Harvard MIT: Artist's Home	5871398	Beverly	North Cambridge	42.39403	-71.13094	Private room	84	180	30	2020-04-16	0.38	2	365	2
3	3434822	Harvard MIT: Artist's Home	5871398	Beverly	North Cambridge	42.39403	-71.13094	Private room	84	180	30	2020-04-16	0.39	2	365	2
4	3610778	Private Room with Bunk Bed near Harvard/MIT	4297079	Charlton & Theresa	East Cambridge	42.36903	-71.08794	Private room	85	4	28	2020-09-25	0.35	1	91	2
5	3610778	Private Room with Bunk Bed near Harvard/MIT	4297079	Charlton & Theresa	East Cambridge	42.36903	-71.08794	Private room	85	4	28	2020-09-25	0.36	1	0	2
6	7007117	Room near Alewife Red Line T stop.	21745230	Jurek	North Cambridge	42.39634	-71.13683	Private room	60	1	29	2020-04-25	0.43	6	365	2
8	14213983	Great Cambridge studio, great Harvard sq location	1473780	Bernardo	Riverside	42.36660	-71.11397	Entire home/apt	135	3	11	2020-11-24	0.20	1	88	2
9	14727253	Charming House in Cambridge C36W	12576232	Thomas	The Port	42.36931	-71.09760	Private room	45	32	10	2020-11-20	0.19	5	365	2

Overview

Variables

Common Values

Length

Most occurring characters

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Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Other Letter

Math Symbol

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Modifier Symbol

Final Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Han

Most occurring blocks

Most frequent character per block

ASCII

CJK

Punctuation

Dingbats

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts